Multilingual Podcast Transcription And Speech Annotator

Work location: Remote from: Australia, Austria, Canada, Hong Kong, Switzerland

Pay: Paid per hour, as OneForma's project page states it.

Transcribe and annotate long-form podcast recordings to support the training and evaluation of speech recognition models. You’ll combine careful listening with consistent speaker labels, timestamps, and audio-quality checks.

About this project

Freya focuses on accurately segmenting and transcribing speech in podcast recordings that typically run for 30-60 minutes or longer. The resulting data helps train and evaluate voice recognition and speech-to-text models across many languages and locations.

What you’ll do

• Transcribe long-form podcast recordings according to project guidelines.

• Identify speakers and apply consistent speaker labels.

• Segment speech and add accurate timestamps.

• Record the perceived gender of speakers when required by the guidelines.

• Flag unclear or distorted speech, strong accents, incorrect languages, and synthetic or generated audio.

• Review and correct pre-annotated speech segments when required.

Requirements

• Native or near-native fluency in the language and location selected in your application.

• Strong listening skills and close attention to detail.

• Previous transcription or speech annotation experience.

• A computer with a stable internet connection.

Project details

• Location: Remote within the eligible language and location options.

• Task length: Podcast recordings generally run for 30-60 minutes or longer.

• Availability: Tasks are released weekly on a first-come, first-served basis. Volume may vary by location and batch.

Compensation

Compensation is calculated at a fixed hourly rate. The rate shown on the OneForma platform depends on the language and location you select.